Synchronous and Asynchronous Reversible Markov Systems(1)

Canadian Mathematical Bulletin ◽

10.4153/cmb-1974-117-4 ◽

1975 ◽

Vol 17 (5) ◽

pp. 633-649 ◽

Author(s):

D. A. Dawson

Keyword(s):

Invariant Measure ◽

Random Field ◽

Markov Random Field ◽

Second Order ◽

Markov Systems ◽

First Order ◽

AbstractThe relationships between synchronous and asynchronous reversible Markov systems are investigated. It is shown that the invariant measure of such systems is a second order Markov random field. The conditions under which the invariant measure is a first order Markov random field are obtained.

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Exact optimization for a class of second order Markov random field via graph cuts

2005 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2005.1527918 ◽

2005 ◽

Author(s):

Zhi-Jun Liao ◽

Jie-Yu Zhao

Keyword(s):

Random Field ◽

Markov Random Field ◽

Second Order ◽

Markov Random ◽

Exact Optimization

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Image Haze Removal Based on Transmission Map Using Hidden Markov Random Field Model

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e97.a.1820 ◽

2014 ◽

Vol E97.A (8) ◽

pp. 1820-1822 ◽

Author(s):

Min-Hyuk LEE ◽

Oh-Seol KWON

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Hidden Markov ◽

Random Field Model ◽

Haze Removal ◽

Markov Random Field Model ◽

Markov Random ◽

Hidden Markov Random Field

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Fusion Moves for Markov Random Field Optimization

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2009.143 ◽

2010 ◽

Vol 32 (8) ◽

pp. 1392-1405 ◽

Author(s):

Victor Lempitsky ◽

Carsten Rother ◽

Stefan Roth ◽

Andrew Blake

Keyword(s):

Random Field ◽

Markov Random Field ◽

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High-Order Markov Random Field as Attention Network for High-Resolution Remote-Sensing Image Compression

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3075956 ◽

2021 ◽

pp. 1-14

Author(s):

Yanwen Chong ◽

Liang Zhai ◽

Shaoming Pan

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Image Compression ◽

Random Field ◽

Markov Random Field ◽

Remote Sensing Image ◽

Attention Network ◽

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Optimal filters for a hidden Markov random field model

Mathematical and Computer Modelling ◽

10.1016/s0895-7177(00)00107-2 ◽

2000 ◽

Vol 31 (13) ◽

pp. 1-9

Author(s):

L. Aggoun ◽

L. Benkherouf ◽

A. Benmerzouga

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Hidden Markov ◽

Random Field Model ◽

Markov Random Field Model ◽

Optimal Filters ◽

Markov Random ◽

Hidden Markov Random Field

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Land cover classification combining Sentinel-1 and Landsat 8 imagery driven by Markov random field with amendment reliability factors

EURASIP Journal on Wireless Communications and Networking ◽

10.1186/s13638-020-01713-5 ◽

2020 ◽

Vol 2020 (1) ◽

Author(s):

Xiaofei Shi ◽

Zhiyu Deng ◽

Xing Ding ◽

Li Li

Keyword(s):

Random Field ◽

Markov Random Field ◽

Land Cover Classification ◽

Landsat 8 ◽

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An Automatic ${\cal U}$-Distribution and Markov Random Field Segmentation Algorithm for PolSAR Images

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2014.2349575 ◽

2015 ◽

Vol 53 (4) ◽

pp. 1819-1827 ◽

Author(s):

Anthony P. Doulgeris

Keyword(s):

Random Field ◽

Markov Random Field ◽

Segmentation Algorithm ◽

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Spatio-Temporal Markov Random Field-Based Packet Video Error Concealment

2007 IEEE International Conference on Image Processing ◽

10.1109/icip.2007.4379999 ◽

2007 ◽

Author(s):

Daniel Persson ◽

Thomas Eriksson

Keyword(s):

Random Field ◽

Markov Random Field ◽

Error Concealment ◽

Markov Random ◽

Spatio Temporal ◽

Packet Video ◽

Video Error Concealment

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Classification of Very High Resolution SAR Images of Urban Areas Using Copulas and Texture in a Hierarchical Markov Random Field Model

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2012.2193869 ◽

2013 ◽

Vol 10 (1) ◽

pp. 96-100 ◽

Author(s):

Aurelie Voisin ◽

Vladimir A. Krylov ◽

Gabriele Moser ◽

Sebastiano B. Serpico ◽

Josiane Zerubia

Keyword(s):

High Resolution ◽

Random Field ◽

Markov Random Field ◽

Urban Areas ◽

Field Model ◽

Markov Random Field Model ◽

Markov Random ◽

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Image segmentation for automatic particle identification in electron micrographs based on hidden Markov random field models and expectation maximization

Journal of Structural Biology ◽

10.1016/j.jsb.2003.11.028 ◽

2004 ◽

Vol 145 (1-2) ◽

pp. 123-141 ◽

Author(s):

V Singh

Keyword(s):

Image Segmentation ◽

Random Field ◽

Electron Micrographs ◽

Markov Random Field ◽

Expectation Maximization ◽

Hidden Markov ◽

Particle Identification ◽

Markov Random ◽

Hidden Markov Random Field

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